Employing a Target Risk Attribute Predictor While Drilling

US2017191359A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2017191359-A1
Application numberUS-201415313502-A
CountryUS
Kind codeA1
Filing dateAug 21, 2014
Priority dateJun 9, 2014
Publication dateJul 6, 2017
Grant date

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Abstract

Official abstract text for this publication.

A method including obtaining input attribute values and a target risk attribute value associated with a first borehole segment. The method also includes training a prediction model for the target risk attribute using the input attribute values and the target risk attribute value. The method also includes acquiring subsequent input attribute values. The method also includes using the trained prediction model and the subsequent input attribute values to predict a target risk attribute value for a second borehole segment. The method also includes storing or displaying information based on the predicted target risk attribute value.

First claim

Opening claim text (preview).

What is claimed is: 1 . A method that comprises: obtaining input attribute values and a target risk attribute value associated with a first borehole segment; training a prediction model for the target risk attribute using the input attribute values and the target risk attribute value; acquiring subsequent input attribute values; using the trained prediction model and the subsequent input attribute values to predict a target risk attribute value for a second borehole segment; and storing or displaying information based on the predicted target risk attribute value. 2 . The method of claim 1 , wherein the target risk attribute corresponds to temperature variation. 3 . The method of claim 1 , wherein the input attribute comprises a drilling fluid temperature at earth's surface. 4 . The method of claim 1 , wherein the input attribute comprises a downhole drilling fluid temperature. 5 . The method of claim 1 , wherein the input attribute comprises a standpipe pressure or drilling fluid flow rate. 6 . The method of claim 1 , wherein the input attribute comprises measured formation parameters. 7 . The method of claim 1 , wherein the input attribute comprises a drilling friction estimate calculated as a function of one or more drilling parameters selected from the list consisting of weight-on-bit, torque, rotation speed, and rate of penetration. 8 . The method of claim 1 , further comprising comparing the predicted target risk attribute value to a predetermined threshold, and displaying a sensor risk warning based on the comparison. 9 . The method of claim 1 , further comprising comparing the predicted target risk attribute value to a predetermined threshold, and displaying a drilling risk warning based on the comparison. 10 . The method of claim 1 , further comprising adjusting a drilling direction based on the predicted target risk attribute value. 11 . The method of claim 1 , further comprising adjusting a drilling operational parameter based on the predicted target risk attribute value. 12 . The method of claim 1 , wherein the first borehole segment corresponds to a different borehole, and wherein the second borehole segment corresponds to a current borehole segment or ahead-of-bit segment of a borehole being drilled. 13 . The method of claim 1 , wherein the first borehole segment corresponds a previous borehole segment of a borehole being drilled and the second borehole segment corresponds to a current borehole segment or ahead-of-bit segment of the borehole being drilled. 14 . A system that comprises: at least one processor; a memory in communication with the at least one processing and storing instructions that, when executed, causes the at least one processor to: obtain input attribute values and a target risk attribute value associated with a first borehole segment; train a prediction model for the target risk attribute using the first set of input attributes and the target risk attribute value; acquire subsequent input attribute values; use the trained prediction model and the subsequent input attribute values to predict a target risk attribute value for a second borehole segment; and store or display information based on the predicted target risk attribute value. 15 . The system of claim 14 , wherein the target risk attribute is temperature variation. 16 . The system of claim 14 , wherein the input attribute comprises a measurable parameter sensed by at least one sensor associated with a borehole being drilled. 17 . The system of claim 14 , wherein the instructions further cause the at least one processor to identify when a predicted downhole target attribute value exceeds a predetermined threshold and to display a related message on a monitor. 18 . The system of claim 14 , wherein the at least one processor outputs a control signal to adjust a drilling direction or drilling parameter based on the predicted target risk attribute value. 19 . The system of claim 14 , further comprising a bottom-hole assembly (BHA) with a drill bit and at least one BHA sensor, wherein the at least one BHA sensor obtains at least some of the subsequent input attribute values while a borehole is being drilled by the drill bit. 20 . The system of claim 14 , further comprising a bottom-hole assembly (BHA) with a drill bit and at least one BHA sensor, wherein the at least one BHA sensor obtains the target risk attribute value while a borehole is being drilled by the drill bit.

Assignees

Inventors

Classifications

  • E21B47/12Primary

    Means for transmitting measuring-signals or control signals from the well to the surface, or from the surface to the well, e.g. for logging while drilling · CPC title

  • Controlling or monitoring pressure or flow of drilling fluid, e.g. automatic filling of boreholes, automatic control of bottom pressure (valve arrangements therefor E21B21/10) · CPC title

  • by analysing drilling variables or conditions (E21B49/005 takes precedence; systems specially adapted for monitoring a plurality of drilling variables or conditions E21B44/00) · CPC title

  • Fixed Constructions · mapped topic

  • in response to the torque of the drive {; Measuring drilling torque (E21B44/06 takes precedence; measuring stresses in a well bore pipe E21B47/007)} · CPC title

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What does patent US2017191359A1 cover?
A method including obtaining input attribute values and a target risk attribute value associated with a first borehole segment. The method also includes training a prediction model for the target risk attribute using the input attribute values and the target risk attribute value. The method also includes acquiring subsequent input attribute values. The method also includes using the trained pre…
Who is the assignee on this patent?
Landmark Graphics Corp
What technology area does this patent fall under?
Primary CPC classification E21B47/12. Mapped technology areas include Fixed Constructions.
When was this patent published?
Publication date Thu Jul 06 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).